T-Mobile USA Inc. expanded its fixed-mobile converged service from its test market in Seattle to the national stage, leveraging its hotspot network as well as in-home routers to enhance its coverage.
UMA-based technology allows seamless handoffs between a Wi-Fi network and T-Mobile USA’s GSM/GPRS/EDGE cellular network. The HotSpot@Home service is currently available on a pair of handsets-both retailing for $50, the Samsung Electronics Co. Ltd. SGH-t409 and Nokia Corp.’s 6086. The service also requires a home Wi-Fi router and a two-year contract. T-Mobile USA has partnered with D-Link and Linksys for optimized routers, which are currently offered at no charge after a mail-in rebate.
Single lines can make use of the service for $10 per month, and up to five family plan members can add the service for $20 per month. HotSpot@Home offers customers the chance to stretch their wireless minutes, since they can make unlimited local and long distance calls from their home Wi-Fi network or the carrier’s hotspots, without dipping into their cellular plan’s bucket minutes.
Regional telecom operator Cincinnati Bell also recently introduced a similar dual-mode service in the greater Dayton, Ohio area, dubbed CB Home Run, which relies on an in-home router and the company’s local network of 300 hotspots. Cincinnati Bell also offers the Nokia 6086 for its service. The unlimited Wi-Fi calling service can be added for $10 per month to Cincinnati Bell wireless plans of $40 per month or more.
T-Mobile USA goes nationwide with FMC service
ABOUT AUTHOR
Jump to Article
What infra upgrades are needed to handle AI energy spikes?
AI infra brief: Power struggles behind AI growth
The IEA report predicts that AI processing in the U.S. will need more electricity than all heavy industries combined, such as steel, cement and chemicals
Energy demand for AI data centers in the U.S. is expected to grow about 50 gigawatt each year for the coming years, according to Aman Khan, CEO of International Business Consultants
AI infra brief: Power struggles behind AI growth
The IEA report predicts that AI processing in the U.S. will need more electricity than all heavy industries combined, such as steel, cement and chemicals
Energy demand for AI data centers in the U.S. is expected to grow about 50 gigawatt each year for the coming years, according to Aman Khan, CEO of International Business Consultants